AIMC Topic: Algorithms

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Review of Medical Decision Support and Machine-Learning Methods.

Veterinary pathology Mar 13, 2019
Machine-learning methods can assist with the medical decision-making processes at the both the clinical and diagnostic levels. In this article, we first review historical milestones and specific applications of computer-based medical decision support...
Bayes Theorem Veterinary Medicine Humans Neural Networks, Computer Machine Learning Algorithms Medicine Clinical Decision-Making Animals Decision Trees
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Incorporating microbial community data with machine learning techniques to predict feed substrates in microbial fuel cells.

Biosensors & bioelectronics Mar 13, 2019
The complicated interactions that occur in mixed-species biotechnologies, including biosensors, hinder chemical detection specificity. This lack of specificity limits applications in which biosensors may be deployed, such as those where an unknown fe...
Machine Learning Wastewater Algorithms Biosensing Techniques Genomics Bacteria Acetates Microbiota Carbohydrates Genome, Bacterial
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Analysis and evaluation of handwriting in patients with Parkinson's disease using kinematic, geometrical, and non-linear features.

Computer methods and programs in biomedicine Mar 13, 2019
BACKGROUND AND OBJECTIVES: Parkinson's disease is a neurological disorder that affects the motor system producing lack of coordination, resting tremor, and rigidity. Impairments in handwriting are among the main symptoms of the disease. Handwriting a...
Tremor Humans Parkinson Disease Adult Algorithms Female Deep Learning Nonlinear Dynamics Biomechanical Phenomena Reproducibility of Results Pattern Recognition, Automated Models, Theoretical Male Aged Support Vector Machine Handwriting Middle Aged Aged, 80 and over
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Machine learning & forensic science.

Forensic science international Mar 13, 2019
Big Data Humans Machine Learning Forensic Sciences Data Analysis Algorithms
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On the Relative Contribution of Deep Convolutional Neural Networks for SSVEP-Based Bio-Signal Decoding in BCI Speller Applications.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 13, 2019
Brain-computer interfaces (BCI) harnessing steady state visual evoked potentials (SSVEPs) manipulate the frequency and phase of visual stimuli to generate predictable oscillations in neural activity. For BCI spellers, oscillations are matched with al...
Humans Cues Brain-Computer Interfaces Neural Networks, Computer Communication Devices for People with Disabilities Male Algorithms Evoked Potentials, Somatosensory Electroencephalography Female Electrodes Young Adult Adult
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Convolutional neural network for cell classification using microscope images of intracellular actin networks.

PloS one Mar 13, 2019
Automated cell classification is an important yet a challenging computer vision task with significant benefits to biomedicine. In recent years, there have been several studies attempted to build an artificial intelligence-based cell classifier using ...
Cytoplasm Cell Line, Tumor Algorithms Cytoskeleton Image Processing, Computer-Assisted Female Cell Line Humans Reproducibility of Results Automation Models, Statistical Neural Networks, Computer Breast Neoplasms Pattern Recognition, Automated MCF-7 Cells Machine Learning Actins Microscopy, Fluorescence Breast
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Dynamic MRI using model-based deep learning and SToRM priors: MoDL-SToRM.

Magnetic resonance in medicine Mar 12, 2019
PURPOSE: To introduce a novel framework to combine deep-learned priors along with complementary image regularization penalties to reconstruct free breathing & ungated cardiac MRI data from highly undersampled multi-channel measurements.
Humans Algorithms Magnetic Resonance Imaging Databases, Factual Heart Deep Learning Respiration Image Processing, Computer-Assisted Cardiac Imaging Techniques
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MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for efficient MR parameter mapping.

Magnetic resonance in medicine Mar 12, 2019
PURPOSE: To develop and evaluate a novel deep learning-based image reconstruction approach called MANTIS (Model-Augmented Neural neTwork with Incoherent k-space Sampling) for efficient MR parameter mapping.
Image Processing, Computer-Assisted Magnetic Resonance Imaging Knee Joint Humans Neural Networks, Computer Algorithms Female Aged Male Middle Aged Deep Learning
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Automated pectoral muscle identification on MLO-view mammograms: Comparison of deep neural network to conventional computer vision.

Medical physics Mar 12, 2019
OBJECTIVES: The aim of this study was to develop a fully automated deep learning approach for identification of the pectoral muscle on mediolateral oblique (MLO) view mammograms and evaluate its performance in comparison to our previously developed t...
Humans Neural Networks, Computer Algorithms Female Mammography Radiologists Observer Variation Pectoralis Muscles Breast Neoplasms Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted
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Clinical applications of machine learning algorithms: beyond the black box.

BMJ (Clinical research ed.) Mar 12, 2019
Machine Learning Algorithms Clinical Decision-Making Diagnosis, Computer-Assisted Humans Therapy, Computer-Assisted Attitude to Computers Attitude of Health Personnel Health Knowledge, Attitudes, Practice Ethics, Medical Computer Security
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